Leveraging digital technologies for circular economy in construction industry: a way forward

IF 3.5 Q3 GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY
N. Rodrigo, Hossein Omrany, Ruidong Chang, Jian Zuo
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Abstract

PurposeThis study aims to investigate the literature related to the use of digital technologies for promoting circular economy (CE) in the construction industry.Design/methodology/approachA comprehensive approach was adopted, involving bibliometric analysis, text-mining analysis and content analysis to meet three objectives (1) to unveil the evolutionary progress of the field, (2) to identify the key research themes in the field and (3) to identify challenges hindering the implementation of digital technologies for CE.FindingsA total of 365 publications was analysed. The results revealed eight key digital technologies categorised into two main clusters including “digitalisation and advanced technologies” and “sustainable construction technologies”. The former involved technologies, namely machine learning, artificial intelligence, deep learning, big data analytics and object detection and computer vision that were used for (1) forecasting construction and demolition (C&D) waste generation, (2) waste identification and classification and (3) computer vision for waste management. The latter included technologies such as Internet of Things (IoT), blockchain and building information modelling (BIM) that help optimise resource use, enhance transparency and sustainability practices in the industry. Overall, these technologies show great potential for improving waste management and enabling CE in construction.Originality/valueThis research employs a holistic approach to provide a status-quo understanding of the digital technologies that can be utilised to support the implementation of CE in construction. Further, this study underlines the key challenges associated with adopting digital technologies, whilst also offering opportunities for future improvement of the field.
利用数字技术促进建筑行业循环经济:未来之路
目的本研究旨在调查与在建筑行业使用数字技术促进循环经济(CE)有关的文献。设计/方法论/方法采用综合方法,包括文献计量分析、文本挖掘分析和内容分析,以实现三个目标:(1)揭示该领域的进化进程,(2)确定该领域的关键研究主题;(3)确定阻碍CE实施数字技术的挑战。芬丁共分析了365份出版物。结果显示,八项关键数字技术分为两大类,包括“数字化和先进技术”和“可持续建筑技术”。前者涉及机器学习、人工智能、深度学习、大数据分析、物体检测和计算机视觉等技术,用于(1)预测建筑和拆除(C&D)废物产生,(2)废物识别和分类,以及(3)废物管理的计算机视觉。后者包括物联网(IoT)、区块链和建筑信息建模(BIM)等技术,这些技术有助于优化资源使用,提高行业的透明度和可持续性。总的来说,这些技术在改善废物管理和实现建筑CE方面显示出巨大的潜力。独创性/价值这项研究采用了一种整体的方法来提供对数字技术的现状理解,这些技术可以用来支持CE在建筑中的实施。此外,这项研究强调了与采用数字技术相关的关键挑战,同时也为该领域的未来改进提供了机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart and Sustainable Built Environment
Smart and Sustainable Built Environment GREEN & SUSTAINABLE SCIENCE & TECHNOLOGY-
CiteScore
9.20
自引率
8.30%
发文量
53
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